Robotics Manufacturing Engineer - Lean Automation

haier; Concord (KY); On-site; USD 85,000 - 120,000; Full time

Job summary

GE Appliances, a Haier company, is seeking an Advanced Manufacturing Engineer- Robotics to lead robotics integration, equipment development, and process improvement at our Louisville, KY site. You will drive capital equipment projects, collaborate with factory teams, and ensure safety and quality in electrical, instrumentation, and test systems.

The role emphasizes 3P participation, DFMA alignment, and cross-functional collaboration to optimize production and testing capabilities in a

Qualifications

• Bachelor’s Degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related degree.
• 3+ years of hands-on experience in manufacturing equipment and processes.

Responsibilities

• Provide advanced manufacturing robotic electrical, instrumentation, and test system expertise for planning conceptualization, specification, development, and implementation of manufacturing and test equipment.
• Manage robotic and control portions of capital equipment expenditures supporting new product designs, factory capacity or efficiency improvements.
• Participate in Production Preparation Process (3P) to develop workstation, test equipment and processes.
• Utilize cross-functional groups to ensure instrumentation, equipment and processes align with the value stream.

Skills

Cross-functional teamwork

Communication skills

Problem-solving

Education

Bachelor’s degree in Robotics/Mechanical/Electrical/CS

Tools

AutoCAD

MS Office

MS Scheduler

Job description

GE Appliances, a Haier company, is seeking an Advanced Manufacturing Engineer- Robotics to lead robotics integration, equipment development, and process improvement at our Louisville, KY site. You will drive capital equipment projects, collaborate with factory teams, and ensure safety and quality in electrical, instrumentation, and test systems.

The role emphasizes 3P participation, DFMA alignment, and cross-functional collaboration to optimize production and testing capabilities in a